Proceedings
Author :
Publisher :
Page : 1196 pages
File Size : 50,98 MB
Release : 1996
Category : Census
ISBN :
Author :
Publisher :
Page : 1196 pages
File Size : 50,98 MB
Release : 1996
Category : Census
ISBN :
Author : Federation of American Societies for Experimental Biology. Life Sciences Research Office
Publisher :
Page : 370 pages
File Size : 40,78 MB
Release : 1995
Category : Medical policy
ISBN :
The third report reviews the dietary and nutritional status of the U.S. population, as well as the factors that determine status, based on the data available through the National Nutrition Monitoring and Related Research Program (NNMRRP) by June 1994.
Author :
Publisher :
Page : 370 pages
File Size : 15,9 MB
Release : 1995
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ISBN :
Author :
Publisher :
Page : 332 pages
File Size : 18,11 MB
Release : 1996
Category : Canada
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Author :
Publisher :
Page : 32 pages
File Size : 40,91 MB
Release : 1993
Category : Health surveys
ISBN :
Author : Paul J. Lavrakas
Publisher : John Wiley & Sons
Page : 548 pages
File Size : 42,22 MB
Release : 2019-10-01
Category : Social Science
ISBN : 1119083753
A thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and non-probability samples. It approaches the usage of survey-based experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used. Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on within-unit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains. Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method’s deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book: Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity Offers a wide range of types of experimentation in survey research with in-depth attention to their various methodologies and applications Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of survey-based experimentation —featuring contributions from across a variety of disciplines in the social and behavioral sciences Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study Includes more than 20 types of original experiments carried out within probability sample surveys Addresses myriad practical and operational aspects for designing, implementing, and analyzing survey-based experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduate-level courses on survey experiments and survey methodology.
Author :
Publisher : DIANE Publishing
Page : 254 pages
File Size : 27,59 MB
Release :
Category :
ISBN : 9781422325216
Author : National Survey on Drug Use and Health (U.S.)
Publisher :
Page : 318 pages
File Size : 49,23 MB
Release : 2004
Category : Drug abuse
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Author : J. N. K. Rao
Publisher : John Wiley & Sons
Page : 476 pages
File Size : 21,61 MB
Release : 2015-08-10
Category : Mathematics
ISBN : 111873579X
Praise for the First Edition "This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic...I believe that it has the potential to turn small area estimation...into a larger area of importance to both researchers and practitioners." —Journal of the American Statistical Association Written by two experts in the field, Small Area Estimation, Second Edition provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of "optimal" estimates and associated measures of variability under an assumed model, and the validation of models from the sample data. Emphasizing real data throughout, the Second Edition maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities. Including information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, Small Area Estimation, Second Edition also features: Additional sections describing the use of R code data sets for readers to use when replicating applications Numerous examples of SAE applications throughout each chapter, including recent applications in U.S. Federal programs New topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models A discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data Small Area Estimation, Second Edition is an excellent reference for practicing statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The Second Edition is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics.
Author :
Publisher :
Page : 180 pages
File Size : 22,41 MB
Release : 2006
Category : Demographic surveys
ISBN :